This article explores the use of fuzzy logic in the adaptive selection of background subtraction methods. Methods such as MOG2, KNN, and Simple Differencing are used for object detection. However, under dynamic backgrounds and changing illumination conditions, these methods do not provide optimal results. To address this problem, the article proposes a dynamic selection mechanism for various background subtraction methods using fuzzy logic, which enhances detection accuracy and ensures efficient resource utilization